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App Analytics

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May 13, 2024 3 minute read

App Analytics, the practice of measuring and analyzing data about the usage and performance of mobile applications, is a crucial aspect of App Development that enables developers, product managers, and business stakeholders to make informed decisions about their apps.

Why App Analytics?

The benefits of App Analytics are multifaceted:

Path to App Analytics

Take the first step.

We've curated four courses to help you on your path to App Analytics. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

ASO: 20 Million App Downloads App Store Optimization

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Master CI/CD for React Native

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Master CI/CD for Xamarin

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UX Research for Apps: User-centric from Concept to Launch

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Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in App Analytics.

Machine and Deep Learning Algorithms and...

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Explores advanced analytics techniques for mobile apps, including machine learning, deep learning, and natural language processing. It's suitable for those with a strong foundation in data science and programming.

Machine and Deep Learning Algorithms and...

Paperback

$$$

Lean Analytics

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While not specifically focused on app analytics, this book provides a broader perspective on data-driven decision-making in startups. It covers agile methodologies and customer-focused metrics that can be applied to app analytics.

Lean Analytics: Use Data to Build a Better Startup...

Paperback

(Español) Lean Analytics: Cómo utilizar los datos para crear...

Social Big Data Analytics

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Collection of case studies from successful mobile apps. It provides real-world examples of how app analytics was used to drive growth, improve user engagement, and optimize monetization.

Social Big Data Analytics: Practices, Techniques,...

Paperback

$$$$

Relevant careers

Product Analyst

Data Analyst

Growth Hacker

Software Engineer

Product Manager

Marketing Manager

Business Analyst

Consultant

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